Automate cross-chain payments, resource provisioning, and revenue tracking with minimal manual steps.
This AI Agent orchestrates token-based payments across Ethereum, Base, Polygon, and Arbitrum. It creates a mandate, processes dual blockchain payments, verifies transactions, and delivers API resources automatically. It provides real-time spend and revenue visibility across all chains.
Orchestrates payments, provisioning, and auditing across chains.
Connects to buyer and seller configurations to prepare payment terms.
Parses resource requests and calculates total cost in the selected token.
Calculates totals in USDC, USDT, or DAI across multiple networks.
Signs dual blockchain transactions for merchant and gateway commission.
Verifies payments on-chain and updates the status.
Delivers the requested resource and records the complete audit trail.
Concrete workflow improvements shown in before/after pain points.
A simple 3-step flow that non-technical users can follow.
AI Agent checks buyer, resource, and budget, and prepares payment terms in the selected token and chain.
AI Agent signs two blockchain transactions (merchant and gateway) on the chosen networks and submits them for settlement.
AI Agent verifies payment via the AgentGatePay API, delivers the resource, and logs all actions for auditing.
One realistic scenario.
Scenario: A SaaS API provider on Base charges 0.01 USDC per API call. A developer triggers access to a resource with a 50 USD mandate. The Buyer Agent creates the mandate, requests the resource, and signs two transactions: one to pay the merchant and one to pay the gateway commission. After on-chain verification, the resource is delivered and a complete audit log shows the mandate, transactions, and delivery status. Time to completion: seconds to minutes depending on network latency.
Roles that gain from automated cross-chain payments.
Need seamless access to API resources with crypto payments.
Require automated cross-chain billing and provisioning.
Monetize APIs across tokens and networks.
Monetize services with on-chain payments and instant delivery.
Need budget control and visibility across chains.
Seek scalable, auditable payment workflows.
Tools that enable the AI agent to operate end-to-end.
Orchestrates mandate management, token payments, and merchant payouts.
Orchestrates workflows, loads configurations, and triggers monitoring dashboards.
Hosts the transaction signing service for low-latency dual payments.
Networks used to settle payments and deliver resources across chains.
Audits and verifies transaction settlement and wallet activity.
Practical scenarios where this AI agent shines.
Common concerns about deploying the AI agent.
The AI agent is a workflow that automates token-based payments for API resources across multiple blockchains. It handles price calculation, mandates, dual transactions, on-chain verification, and resource delivery, all in one end-to-end process. It provides audit logs and real-time visibility into spend and revenue. It does not require manual intervention for each transaction once configured.
The agent supports USDC, USDT, and DAI on Ethereum, Base, Polygon, and Arbitrum. It uses a dual-transaction model across the chosen pair of networks and handles token conversions as needed. You can adjust the chain and token settings in the configuration to suit your deployment. Support for additional networks can be added over time as updates are released.
When a resource request is approved, the agent signs two blockchain transactions: one to pay the merchant and another to pay the gateway commission. After both transactions are confirmed on-chain, the resource is delivered and the buyer’s request is marked as complete. This model creates a transparent, auditable trail with defined revenue shares. Verification occurs via the payment gateway API used by AgentGatePay.
Render hosting provides a managed environment for the signing service, which helps reduce cold-start latency and improves reliability. Security best practices include rotating API keys, using separate wallets, and restricting webhook endpoints. Always test with small mandates in a staging environment before going live. Monitor restart times and ensure fallback procedures are in place for service outages.
Costs primarily come from token gas fees on the respective chains and any fees charged by the signing service. The two-transaction model adds a fixed gateway commission, which is documented in the configuration. In practice, the total cost per action is small (micro-transaction level) and predictable via the mandate budget. You can set budgets to control exposure and avoid over-spending.
You need a buyer and seller account on AgentGatePay, a funded wallet on the chosen networks, and a Render deployment with the API key and wallet configuration. You should also configure N8N with the required workflows and have a webhook endpoint for seller interactions. Finally, prepare the catalog of resources with prices and descriptions and ensure computing resources are accessible for testing.
Yes. Prices can be changed in the resource catalog, and mandate budgets can be adjusted to reflect changes in usage patterns or pricing. The AI agent reads these changes from the configuration and applies them to new requests automatically. It is recommended to implement a change management process to review and approve budget changes before they take effect.
Automate cross-chain payments, resource provisioning, and revenue tracking with minimal manual steps.